Codetown
Codetown ::: a software developer's community
Bradlee Sargent's Groups (9)
.Net Town
18 members Latest Activity: Apr 13, 2020 What's up with .Net in your neck of the woods? We'll discuss all the basics here. Eventually, we'l break out separate groups for C#, etc...
Community Corral
23 members Latest Activity: Aug 23, 2012 Are you interested in social networks? We're talking about virtual communities here. Community builders use tools and techniques. We'll discuss them…
Wikipedia Place
9 members Latest Activity: Oct 27, 2011 We've had a unique opportunity to speak with Brion Vibber recently at the October Orlandojug meeting. Let's discuss what we learned for those who…
Cloud Computing Village
16 members Latest Activity: Aug 21, 2015 Cloud Computing is "the next big thing". The recent JavaOne featured Cloud Computing more than any other technology. Come join us and explore /…
Startup City
24 members Latest Activity: Jun 10, 2016 Have you got a great idea you'd like to put into action? This is the place for you! We'll talk about ideas and how to turn them into businesses here.
Democratic Republic of Congo (RDC) JUG Town
8 members Latest Activity: Jun 5, 2014
Come join us here at the RDC JUG Town! Stanislas Matayo and the group in Kinshasa welcome you.
Computational Linguistics Village
15 members Latest Activity: May 6, 2018 Ever wonder how Google Translate works? It's computational linguistics! Join us here and learn all about it and more. Jim White will be our guide.…
Android Town
35 members Latest Activity: Jul 20, 2019 Android is an open Java-based platform to use for developing mobile apps. Do you believe mobile computing is the wave of the future? We do!
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
Java News Roundup: JHipster 9.0, Project Valhalla, Spring, Helidon, OpenXava, Java Operator SDK
This week's Java roundup for March 9th, 2026, features news highlighting: the GA release of JHipster 9.0; Build 27-jep401ea of Project Valhalla; point releases of Spring Tools, Helidon, OpenXava and Java Operator SDK; a maintenance release of Spring Framework; the beta release of the March 2026 edition of Open Liberty; and milestone releases of Micrometer Metrics and Micrometer Tracing.
By Michael RedlichAWS Launches Managed Openclaw on Lightsail Amid Critical Security Vulnerabilities
AWS launched managed OpenClaw on Lightsail for AI agent deployment while security concerns mount. The 250k-star GitHub project is affected by CVE-2026-25253, which enables one-click RCE, with 17,500+ vulnerable instances exposed. Bitdefender found 20% of ClawHub skills malicious. AWS blueprint provides automated hardening, but doesn't address architectural security limits.
By Steef-Jan WiggersElastic Releases Version 9.3.0 With Enhanced AI Tools and OTel Support
Elastic 9.3.0 is now available, featuring enhanced vector search indexing for RAG applications and significant upgrades to the ES|QL query language. The release deepens OpenTelemetry integration for vendor-neutral observability and updates the AI Assistant with better contextual analysis. Security visibility is also expanded across Kubernetes and serverless architectures.
By Mark SilvesterHow Grab Optimizes Image Caching on Android with Time-Aware LRU
To improve image cache management in their Android app, Grab engineers transitioned from a Least Recently Used (LRU) cache to a Time-Aware Least Recently Used (TLRU) cache, enabling them to reclaim storage more effectively without degrading user experience or increasing server costs.
By Sergio De SimoneGoogle Researchers Propose Bayesian Teaching Method for Large Language Models
Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses on improving how models update beliefs as they receive new information during multi-step interactions.
By Daniel Dominguez
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